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# Seurat v1.4

Seurat is an R toolkit for single cell genomics, developed and maintained by the Satija Lab at NYGC.

Instructions, documentation, and tutorials can be found at:
* http://www.satijalab.org/seurat

Seurat is also hosted on GitHub, you can view and clone the repository at
* https://github.com/satijalab/seurat

Seurat has been successfully installed on Mac OS X, Linux, and Windows, using the devtools package to install directly from GitHub

Improvements and new features will be added on a regular basis, please contact seuratpackage@gmail.com with any questions or if you would like to contribute

Version History

October 4, 2016
* Version 1.4 released
* Changes:
   * Improved tools for cluster evaluation/visualizations
   * Methods for combining and adding to datasets

August 22, 2016:
* Version 1.3 released
* Changes :
    * Improved clustering approach - see FAQ for details
    * All functions support sparse matrices
    * Methods for removing unwanted sources of variation
    * Consistent function names
    * Updated visualizations

May 21, 2015:
* Drop-Seq manuscript published. Version 1.2 released
* Changes :
  * Added support for spectral t-SNE and density clustering
  * New visualizations - including pcHeatmap, dot.plot, and feature.plot
  * Expanded package documentation, reduced import package burden
  *  Seurat code is now hosted on GitHub, enables easy install through devtools
  * Small bug fixes

April 13, 2015:
* Spatial mapping manuscript published. Version 1.1 released (initial release)